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-correcting codes with combinatorial or algebraic structure, applications of matroid-theoretic techniques to derandomization, and exploring structural properties of algebraic objects arising in complexity
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, executes and reviews sponsored software research project on structural design and optimization, evolutionary and ML methods; works closely and interacts with industry partners to scope out projects and
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for personalizing either Ti6Al4V, CP Ti, or SS 316 alloy fixation plates. This person will assist a HAMMER GRA implement feedback between Virtual Surgical Planning (VSP) that includes device design and optimized
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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and PD properties and on state-of-the-art approaches for study design optimization, dose individualization, and PK/PD modeling and simulation. Frequent interactions with PhASR users, including
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, with expertise in the fields of optimization, machine learning, nonlinear and computational methods, applied mathematics, experimental methodologies for optimization algorithms. Desired: Self-motivated
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purification, structure determination and interpretation, and applying structural insights to guide antibody optimization and immunogen design. The postdoc will collaborate closely with researchers in immunology
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Major: Operational Research #2 Major: Engineering Required: Doctoral degree in Operational Research or Engineering, with expertise in the fields of optimization, machine learning, nonlinear and
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searches of relevant topics and procedures, new protocol adaptation/optimization/troubleshooting. Will prepare research reports and summaries, manuscripts, posters and presentations for scientific meetings
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monoclonal antibodies, antibody-drug conjugates (ADCs), bispecific antibodies, and CAR-engineered NK and T cell immunotherapies. They support the development, optimization, and implementation of novel